An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Communications of the ACM
Designing data marts for data warehouses
ACM Transactions on Software Engineering and Methodology (TOSEM)
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom
Conceptual Design of Data Warehouses from E/R Schema
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Features to consider in a data warehousing system
Communications of the ACM - Blueprint for the future of high-performance networking
Information requirements engineering for data warehouse systems
Proceedings of the 2004 ACM symposium on Applied computing
A comparison of data warehousing methodologies
Communications of the ACM - The disappearing computer
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Modeling strategies and alternatives for data warehousing projects
Communications of the ACM - Supporting exploratory search
A methodological framework for conceptual data warehouse design
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Data modeling techniques for data warehousing
Data modeling techniques for data warehousing
Development of a business intelligence environment for e-gov using open source technologies
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
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Geo-data sets are built for use in geographical information systems (GIS). The data is modeled to suit the needs of data entry and visual representations. They are optimized for simplicity and speed of modification. These models do not lend themselves to efficiently produce enterprise reports. Hence, Geo-data sets can be very challenging to query and analyze. In this paper, we create a data warehouse (DW) for a geo-dataset to facilitate report generating processes. A data warehouse is attractive as the main repository of an organization's historical data and is optimized for reporting and analysis. For better understanding of the developed architecture, we cover the data warehouse construction process as well as the enterprise data model